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Hadoop and Big Data Analytics - pdf

The primary components of Hadoop are Map Reduce, Distributed Management, and Streaming Data Extractor. <br>Read More@ https://bit.ly/3wPfIlE<br>#HadoopandBigDataAnalytics #cloud #data #applications #Hadoop #BigDataAnalytics #IT #DataAnalytics #technologies

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Hadoop and Big Data Analytics - pdf

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  1. Hadoop and Big Data Analytics are a relatively new technological platform that was developed to address needs of large, cloud-based data-oriented applications The primary components of Hadoop are Map Reduce, Distributed Management, and Streaming Data Extractor. These key technologies enable programmers and consumers to access large, historical data sets without requiring data replication or additional infrastructure. Furthermore, because Hadoop is open-source, it offers significant cost savings for both IT and business users. By developing a comprehensive plan for deployment, they can help IT departments and business units to reduce costs associated with IT infrastructure, network, storage, memory, and processing. With this solution, IT managers can accelerate time to market by deploying applications in minutes instead of months. For smaller companies and startups, deploying Hadoop and Big Data Analytics reduces operational expenses as well as training costs associated with introducing new systems. In addition, they provide IT, staff, with a range of tools for managing and protecting the company's data. Read More@ https://bit.ly/3wPfIlE

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